Skip to main content

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Funded Projects for Image Processing, Visual Perception and Display

Grant Number Project Title Principal Investigator Institution
7-R21-EB030209-02 A Fully Decentralized Federated Learning Framework for Automated Image Segmentation in Cancer Radiotherapy Yading Yuan Columbia University Health Sciences
5-R01-EB031051-04 A no-gold-standard framework to objectively evaluate quantitative imaging methods with patient data Abhinav Jha Washington University
1-R21-EB034833-01A1 A Novel Personalized Flow Modeling Paradigm for Fetal Aorta and Its Validation with Fetal Cardiac MRI Zhenglun Wei Worcester Polytechnic Institute
2-R01-EB014955-09 Accelerating Community-Driven Medical Innovation with VTK Patrick O'Leary Kitware, Inc.
5-P41-EB028741-05 Advanced Technologies - National Center for Image Guided Therapy (AT-NCIGT) Clare Tempany Brigham And Women'S Hospital
5-R01-EB034261-02 Advancing three-dimensional preclinical dynamic contrast-enhanced photoacoustic computed tomography via quantitative image reconstruction Umberto Villa University of Texas at Austin
1-R21-EB036284-01 AI-assisted Annotation of Minimally Invasive Surgical Video for Building Information-Rich Datasets and Data-Efficient Learning Systems Michael Yip University of California, San Diego
5-R01-EB035160-02 AI-Powered MRI Quality Control and Artifact Correction for Multi-Site Studies Pew-Thian Yap Univ of North Carolina Chapel Hill
5-R21-EB035382-02 Angiography-derived Imaging Biomarkers of the Coronary Microcirculation Marie Guerraty University of Pennsylvania
5-R01-EB032825-02 Artificial Intelligence powered virtual digital twins to construct and validate AI automated tools for safer MR-guided adaptive RT of abdominal cancers Neelam Tyagi Sloan-Kettering Inst Can Research